Cyber Security issues and Blockchain-Deep Learning based solutions for UAV and Internet of Drones (FANETs)

TL;DR

The paper addresses security of UAV-IoD/FANET systems, focusing on the trustworthiness of sensor data in safety-critical operations. It surveys state-of-the-art defenses spanning blockchain-based security, Internet of Drones security, and deep learning/machine learning approaches, across deployment contexts such as edge computing and secure free-space optical communications. It maps threat models to CIA and ISO 27001 risk management, discusses trade-offs like computational overhead and scalability, and highlights gaps for hardware and ISMS-driven advances. The work provides a structured reference for researchers and practitioners to design resilient UAV networks with scalable security architectures.

Abstract

Safety-critical systems such as automated embedded or industrial systems have a strong dependency on the trustworthiness of data collection. As sensors are the critical component for those systems, it is imperative to address the attack resilience of sensors